Data Scientist

Data Scientist

The Opportunity:

As a data scientist, you’re joining a team dedicated to empowering decision-makers through data science, machine learning, and semantic technologies in mission-critical environments. We deliver cutting-edge solutions to enhance the interoperability, usability, and standardization of structured and unstructured data systems. Our work drives operational excellence and enables informed decision-making across complex domains while tackling emerging global challenges.

We are seeking an innovative and highly skilled Data Scientist to support advanced data interoperability efforts within dynamic operational environments. In this role, you will partner with technical and operational teams to identify challenges, create scalable solutions, and optimize end-to-end data workflows to meet mission objectives. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.  

Join us. The world can’t wait.  

You Have:   

• 5+ years of experience with Python-based data analysis, including anomaly detection and techniques for exploratory data analysis (EDA)

• 5+ years of experience designing and implementing solutions with APIs and SDKs, including data integration

• Experience structuring, curating, and normalizing disparate data sources, including in complex settings with operational constraints

• Knowledge of developing data models such as semantic taxonomies or ontologies, including cross-system interoperability and machine-to-machine compatibility

• Ability to communicate across technical and non-technical teams to clarify complex data concepts

• Top Secret clearance

• Bachelor’s degree in Data Science, Computer Science, Information Science, or Engineering

Nice If You Have:   

• Experience with cloud platforms such as AWS

• Experience using tools such as JIRA, Confluence, or other agile development platforms

• Experience collaborating with cross-functional teams and managing data workflows in mission-critical environments

• Knowledge of geospatial data formats such as GeoJSON or WKT and expertise in specialized ISR-specific data workflows.

• Knowledge of semantic web technologies such as RDF, OWL, JSON-LD, SKOS, and SHACL

• Knowledge of event-driven data design patterns, streaming solutions, and data governance frameworks

• Knowledge of IC-compliant standards and frameworks for managing sensitive or classified data

• Possession of excellent collaboration, problem-solving, and written and verbal communication skills

• TS/SCI clearance

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compen